Detection of surface cracks of corn kernel based on morphology

• 1、China Agricultural University

Abstract：Surface cracks identification and detection of corn kernel was studied based on digital image processing. CCFL (Cold Cathode Fluorescent Lamps) were chosen to construct the image capturing illumination environment, and a set of image acquisition system of corn kernel was established. Then, a method of surface cracks detection was developed base on morphology of corn kernel. Firstly, binary image including the information of cracks, boundary and noises were picked up with horizontal and vertical Sobel operators. Subsequently, a majority of non-cracks information was eliminated by images subtraction after finding the tip of the corn kernel based on its morphology. Finally, according to the cracks length and position, the cracks were extracted, and the absolute and relative length of cracks were calculated. A detecting experiment was carried out with 50 kernels with cracks and 50 kernels without cracks selected from NongDa-4967 and NongDa-3138 (two novel varieties of corn seed developed by China Agricultural University) respectively. The results indicate that the detecting accuracy were 94% and 90%. It can satisfy the accuracy of surface cracks detection of corn kernels by the method.

Keywords： Computer vision Image processing Corn kernel Surface cracks Morphology